Proceedings: April 6 - 10, 2003, Hong Kong Exhibition and Convention Centre, Hong Kong 3 Image & multidimensional signal processing, signal processing education
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| Sprache: | English |
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Piscataway, NJ
IEEE Operations Center
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| Beschreibung: | XCVIII, 788 S., S. A 1 - A 23 Ill., graph. Darst. |
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| adam_text | IMAGE 1
2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL
PROCESSING
PROCEEDINGS
VOLUME III OF VI
IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING SIGNAL PROCESSING EDUCATION
APRIL 6-10, 2003
HONG KONG EXHIBITION AND CONVENTION CENTRE HONG KONG
SPONSORED BY
THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS SIGNAL PROCESSING
SOCIETY
UB/TIB HANNOVER 89 124 953 506
IMAGE 2
NEURAL-P2.4: UNSUPERVISED CLUSTERINGBASED REDUCED SUPPORT VECTOR II -
821 MACHINES SONGFENG ZHENG, XIAOFENG LU, NANNING ZHENG, WEIPU XU, XVAN
JIAOTONG UNIVERSITY, CHINA
NEURAL-P2.S: ROBUST CEPHALOMETRICLANDMARK IDENTIFICATION USING II - 825
SUPPORTVECTORMACHINES SHANTANU CHAKRABARTTY, THE JOHNS HOPKINS
UNIVERSITY, UNITED STATES; MASAKAZUYAGI, TADASHI SHIBATA, UNIVERSITY OF
TOKYO, JAPAN; GERT CAUWENBERGHS, THE JOHNS HOPKINS UNIVERSITY, UNITED
STATES
NEURAL-P2.6: LEARNING FEATURES FROMEXAMPLES FOR FACEDETECTION II - 829
XIAOFENG LU, SONGFENG ZHENG, NANNING ZHENG, WEIXIANG LIU, XVAN JIAOTONG
UNIVERSITY, CHINA
NEURAL-P2.7: REAL TIME FACE RECOGNITION SYSTEM USINGAUTOASSOCIATIVE II -
833 NEURALNETWORKMODELS S. PALANIVEL, B.S. VENKATESH, B. YEGNANARAYANA,
INDIAN INSTITUTE OFTECHNOLOGY, MADRAS, INDIA
NEURAL-P2.8: FACE RECOGNITION COMMITTEE MACHINE II - 837
H. M. TANG, MICHAEL R. LYU, IRWIN KING, CHINESE UNIVERSITY OFHONG KONG,
HONGKONG SAR OFCHINA
NEURAL-P2.9: APPEARANCE-BASED NEURAL IMAGE PROCESSING FOR 3-D OBJECT II
- 841 RECOGNITION AND LOCALIZATION CHUNRONG YUAN, FRAUNHOFER INSTITUTE
FIT, GERMANY; HEINRICH NIEMANN, UNIVERSITAT ERLANGEN-NURNBERG, GERMANY
NEURAL-P2.10: AN UNIFIED FRAMEWORK FOR SHOT BOUNDARY DETECTION VIA II -
845 ACTIVE LEARNING TAT-SENG CHUA, HUAMIN FENG,
CHANDRASHEKHARAANANTHARAMU, NATIONAL UNIVERSITY OFSINGAPORE, SINGAPORE
NEURAL-P2.IL: MASS LESION DETECTION WITH AFUZZYNEURALNETWORK N - 849 H.
D. CHENG, MUYI CUI, UTAH STATE UNIVERSITY, UNITED STATES
VOLUME III
IMSP-L1: IMAGEAND VIDEO INDEXING AND RETRIEVAL
IMSP-LL.L: AUTOMATIC RELEVANCE FEEDBACKFOR VIDEO RETRIEVAL ILL -1
PAISARNMUNEESAWANG, NARESUAN UNIVERSITY, THAILAND; LING GUAN, RYERSON
UNIVERSITY, CANADA
IMSP-L1.2: RETRDEVAL OF HAND-DRAWN SKETCHES WITH PARTIAL MATCHING ILL -
5
WING HO LEUNG, TSUHAN CHEN, CARNEGIE MELLON UNIVERSITY, UNITED STATES
IMSP-L1.3: MAXIMAL DISK BASED HISTOGRAMFOR SHAPE RETRIEVAL HI - 9
WAI-PAK CHOI, KIN-MAN LAM, WAN-CHI SIU, HONG KONG POLYTECHNIC
UNIVERSITY, HONGKONGSAR OFCHINA
IMSP-L1.4: SPECTRAL METHOD FOR LEARNING STRUCTURAL VARIATIONS IN GRAPHS
HI -13 BIN LUO, ANHUI UNIVERSITY, CHINA; RICHARD WILSON, EDWIN HANCOCK,
UNIVERSITY OF YORK, UNITED KINGDOM
IMSP-L1.5: ANEW NON-SEGMENTATION SHAPE-BASED IMAGE INDEXING METHOD HI
-17
FARIBORZ MAHMOUDI, IRAN TELECOMMUNICATION RESEARCH CENTER, IRAN; JAMSHID
SHANBEHZADEH, TEACHER TRAINING
UNIVERSITY, IRAN; AMIR-MASOUD EFTEKHARI-MOGHADAM, IRAN
TELECOMMUNICATIONRESEARCH CENTER, IRAN; HAMID SOLTANIANZADEH, TEHERAN
UNIVERSITY, IRAN
IMSP-L1.6: ON PREDICTING RARE CLASSES WITH SVM ENSEMBLES IN SCENE ID -
21 CLASSIFICATION RONG YAN, YAN LIU, RONG JIN, ALEX HAUPTMANN, CARNEGIE
MELLON UNIVERSITY, UNITED STATES
IMSP-L2: HUMANMOVEMENT ANALYSIS AND TRACKING
IMSP-L2.1: TRACKINGHUMANMOVEMENT PATTERNS USINGPARTICLE FILTERING HI -
25 RICHARD GREEN, UNIVERSITY OFSYDNEY, CANADA; LING GUAN, RYERSON
UNIVERSITY, CANADA
XLIII
IMAGE 3
IMSP-L2.2: ROBUST TRACKINGAND SEGMENTATION OF HUMAN MOTION IN AN HI - 29
IMAGE SEQUENCE JOSE JUAREZ GONZALEZ, IK SOO LIM, PASCAL FUA, DANIEL
THALMANN, SWISS FEDERAL INSTITUTE OF TECHNOLOGY (EPFL), SWITZERLAND
IMSP-L2.3: COMBINING MULTIPLE EVIDENCES FOR GAIT RECOGNITION ILL - 33
NARESH CUNTOOR, AMIT KALE, RAMA CHELLAPPA, UNIVERSITY OFMARYLAND, UNITED
STATES
IMSP-L2.4: MULTI MOVING PEOPLEDETECTION FROM BINOCULAR SEQUENCES ILL -
37 YANG RAN, QINFEN ZHENG, UNIVERSITY OFMARYLAND, UNITED STATES
IMSP-L2.5: COMPRESSED DOMAINHUMAN MOTION RECOGNITION USING MOTION ILL -
41 HISTORY INFORMATION VENKATESH BABU RADHAKRISHNAN, KALPATHI R
RAMAKRISHNAN, INDIAN INSTITUTE OFSCIENCE, INDIA
IMSP-L2.6: ANAUTOMATIC SYSTEM FORMULTIPLE HUMAN TRACKINGAND ACTIONS ILL
- 45 RECOGNITION IN OFFICE ENVIRONMENT TAN HENRY, RUWAN JANAPRIYA,
LIYANAGE C. DE SILVA, NATIONAL UNIVERSITY OFSINGAPORE, SINGAPORE
IMSP-L3: WATERMARKING I
IMSP-L3.1: HOW TO DESIGN EFFICIENT WATERMARKS? ILL - 49
QIANG CHENG, WAYNE STATE UNIVERSITY, UNITED STATES; YINGGE WANG,
INDEPENDENT, UNITED STATES; THOMAS HUANG, UNIVERSITY OFILLINOIS,
URBANA-CHAMPAIGN, UNITED STATES
IMSP-L3.2: DETECTION-THEORETIC ANALYSIS OF WARPING ATTACKS IN ILL - 53
SPREAD-SPECTRUM WATERMARKING ALEXIA BRIASSOULI, PIERRE MOULIN,
UNIVERSITY OFILLINOIS, URBANA-CHAMPAIGN, UNITED STATES
IMSP-L3.3: APPLICATION OF SIDE-INFORMED EMBEDDING AND POLYNOMIAL ILL -
57 DETECTION TO AUDIO WATERMARKING MICHEAL MULLARKEY, NEIL HURLEY,
GUENOLE SILVESTRE, UNIVERSITY COLLEGE DUBLIN, IRELAND; T. FURON,
IRISA/INRIA, FRANCE
IMSP-L3.4: AFFINE TRANSFORM RESILIENT IMAGE FINGERPRINTING ILL - 61 JIN
S. SEO, KOREA ADVANCED INSTITUTE OFSCIENCE AND TECHNOLOGY, REPUBLIC
OFKOREA; JAAP HAITSMA, TON KALKER, PHILIPS RESEARCH EINDHOVEN,
NETHERLANDS; CHANG D. YOO, KOREA ADVANCED INSTITUTE OF SCIENCE AND
TECHNOLOGY, REPUBLIC OFKOREA IMSP-L3.5: ERROREXPONENTS FOR ONE-BIT
WATERMARKING ILL - 65
TIE LIU, PIERRE MOULIN, UNIVERSITY OFILLINOIS, URBANA-CHAMPAIGN, UNITED
STATES
IMSP-L3.6: USING DIGITAL WATERMARKSWITH IMAGE SIGNATURES TO MITIGATE ILL
- 69 THETHREAT OF THE COPY ATTACK JOHN BAN, BRETT BRADLEY, BRETT
HANNIGAN, DIGIMARC, UNITED STATES
IMSP-L4: VIDEO CODING I
IMSP-L4.1: MOTION COMPENSATED IN-BAND PREDICTION FOR WAVELET-BASED ILL -
73 SPATIALLY SCALABLE VIDEO CODING CLAUDIA MAYER, AACHEN UNIVERSITY
(RWTH), GERMANY
IMSP-L4.2: A LAYERED VIDEO CODING SCHEME WITH ITS OPTIMUM BIT ILL - 77
ALLOCATION RANDAATTA, MOHAMMED GHANBARI, UNIVERSITY OFESSEX, UNITED
KINGDOM
IMSP-L4.3: UNCONSTRAINEDMOTION COMPENSATEDTEMPORAL FILTERING ILL - 81
(UMCTF) FRAMEWORKFOR WAVELET VIDEO CODING MIHAELA VAN DER SCHAAR, DEEPAK
TURAGA, PHILIPS RESEARCH USA, UNITED STATES
IMSP-L4.4: IMPROVED SINGLE VIDEO OBJECT RATE CONTROL FOR MPEG-4 ILL - 85
ZHENZHONG CHEN, KING NGI NGAN, NANYANG TECHNOLOGICAL UNIVERSITY,
SINGAPORE
XLIV
IMAGE 4
IMSP-L4.5: BUFFER-CONSTRAINED R-D OPTIMIZED RATE CONTROLFOR VIDEO ILL -
89 CODING LIFENGZHAO, C.-C. JAY KUO, UNIVERSITY OFSOUTHERN CALIFORNIA,
UNITED STATES
IMSP-L4.6: WAVELET VIDEO CODING VIA A SPATIALLYADAPTIVELIFTING ILL - 93
STRUCTURE ZHENLI, PURDUE UNIVERSITY, WEST LAFAYETTE, UNITED STATES; FENG
WU, SHIPENGLI, MICROSOFTRESEARCH ASIA, CHINA; EDWARD J. DELP, PURDUE
UNIVERSITY, WEST LAFAYETTE, UNITED STATES
IMSP-L5: IMAGE AND VIDEO INTERPOLATION
IMSP-L5.1: AN EFFICIENT DIRECTIONAL IMAGE INTERPOLATION METHOD ILL - 97
XIQUNLU, ZHEJIANG UNIVERSITY, CHINA; PAUL HONG, MARK J. T. SMITH,
GEORGIA INSTITUTE OFTECHNOLOGY, UNITED STATES
IMSP-L5.2: CRAFTING THE OBSERVATION MODEL FOR REGULARIZED IMAGE ILL -101
UP-SAMPLING HUSSEIN ALY, ERIC DUBOIS, UNIVERSITY OFOTTAWA, CANADA
IMSP-L5.3: INVERTIBLEDEINTERLACING WITH VARIABLE COEFFICIENTS AND ITS
ILL -105 LIFTING IMPLEMENTATION TAKUMA ISHIDA, SHOGO MURAMATSU, HISAKAZU
KIKUCHI, NIIGATA UNIVERSITY, JAPAN; TETSURO KUGE, NHK, JAPAN
IMSP-L5.4: IMAGE INTERPOLATION USINGWAVELET-BASED CONTOUR ESTIMATION ILL
-109 HASAN ATES, PRINCETON UNIVERSITY, UNITED STATES; MICHAEL ORCHARD,
RICE UNIVERSITY, UNITED STATES
IMSP-L5.5: FAST GLOBALMOTION-COMPENSATED FRAME INTERPOLATOR FOR VERY ILL
-113 LOW-BIT-RATEVIDEO QUALITYENHANCEMENT TIEN-YING KUO, LIN-YING
CHUANG, NATIONAL TAIPEI UNIVERSITY OFTECHNOLOGY, TAIWAN
IMSP-L5.6: LOW RATE VIDEO FRAME INTERPOLATION - CHALLENGES AND SOLUTION
ILL -117 HEZERUL ABDUL KARIM, MICHEL BISTER, MUHAMMADUMAR SIDDIQI,
MULTIMEDIA UNIVERSITY, MALAYSIA
IMSP-L6: FACE RECOGNITION
IMSP-L6.1: A COMPARISON OF SUBSPACE ANALYSIS FOR FACE RECOGNITION HI
-121 JIAN LI, SHAOHUA ZHOU, CHANDRA SHEKHAR, UNIVERSITY OFMARYLAND,
UNITED STATES
IMSP-L6.2: REGULARIZED D-LDA FOR FACE RECOGNITION HI -125
JUWEI LU, KONSTANTINOS N. PLATANIOTIS, ANASTASIOS N. VENETSANOPOULOS,
UNIVERSITY OFTORONTO, CANADA
IMSP-L6.3: AN IMPROVED BAYESIAN FACE RECOGNITION ALGORITHM IN PCA ILL
-129 SUBSPACE XIAOGANG WANG, XIAOOU TANG, CHINESE UNIVERSITY OF HONG
KONG, HONG KONG SAR OF CHINA
IMSP-L6.4: GENERAL ILLUMINATION CORRECTION AND ITS APPLICATION TO FACE
IH -133
NORMALIZATION JUHUA ZHU, BEDE LIU, STUART SCHWARTZ, PRINCETON
UNIVERSITY, UNITED STATES
IMSP-L6.5: THE INDEXING OF PERSONS IN NEWS SEQUENCESUSING FFL -137
AUDIO-VISUAL DATA ALBERTO ALBIOL, POLITECHNIC UNIVERSITY, VALENCIA,
SPAIN; LUIS TORRES, TECHNICAL UNIVERSITY OF CATALONIA, SPAIN;EDWARD J.
DELP, PURDUE UNIVERSITY, UNITED STATES
IMSP-L6.6: RECOGNIZINGFACE IMAGES UNDER DIFFERENT LIGHTING IH -141
CONDITIONS HAITAO WANG, YANGSHENG WANG, CHINESEACADEMY OFSCIENCES, CHINA
XLV
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IMSP-L7: MOTION ESTIMATION
IMSP-L7.1: ANALYSIS AND REDUCTION OF REFERENCE FRAMESFORMOTION ILL. 145
ESTIMATION IN MPEG-4 AVC/JVT/H.264 YU-WEN HUANG, BING-YU HSIEH, TU-CHIH
WANG, SHAO-YI CHIENT, NATIONAL TAIWAN UNIVERSITY, TAIWAN; SHYH-YIH MA,
CHUN FU SHEN, VIVOTEK INCORPORATION, TAIWAN; LIANG-GEE CHEN, NATIONAL
TAIWAN UNIVERSITY, TAIWAN
IMSP-L7.2: STOCHASTIC MODELINGOF MOTION TRACKING FAILURES ILL. 149
SHILOH DOCKSTADER, NIKITA IMENNOV, A. MURAT TEKALP, UNIVERSITY
OFROCHESTER, UNITED STATES
IMSP-L7.3: AN ADAPTIVE PARTIAL DISTORTION SEARCH FORBLOCK MOTION ILL
-153 ESTIMATION YUI-LAM CHAN, WAN-CHI SIU, HONG KONG POLYTECHNIC
UNIVERSITY, HONG KONGSAR OF CHINA
IMSP-L7.4: LINEAR AND REGULARIZED SOLUTIONS FORMULTIPLE MOTIONS ILL -157
INGO STAKE, TILAACH, UNIVERSITY OFLUEBECK, GERMANY; CICERO MOTA,
UNIVERSITY OFFRANKFURT, GERMANY; ERHARDT BARTH,
UNIVERSITY OFLUEBECK, GERMANY
IMSP-L7.5: EMPIRICAL CHOICEOF SMOOTHING PARAMETERS IN OPTICALFLOW ILL
-161 WITH CORRELATED ERRORS MINGREN SHI, VICTOR SOLO, UNIVERSITY OF NEW
SOUTH WALES, AUSTRALIA
IMSP-L7.6: A FREQUENCY-DOMAINAPPROACH FORTHE EXTRACTION OF MOTION ILL
-165 PATTERNS JESUS CHAMORRO-MARTINEZ, JOAQUIN FERNANDEZ-VALDIVIA, JOSE
ANTONIO GARCIA, JAVIER MARTINEZ-BAENA, UNIVERSITY OF GRANADA, SPAIN
IMSP-L8: VIDEOSUMMARIZATION
IMSP-L8.1: A GENERAL FRAMEWORKFOR SPORTS VIDEO SUMMARIZATION WITH ITS
ILL -169 APPLICATION TO SOCCER BAOXIN LI, HAO PAN, IBRAHIM SEZAN, SHARP
LABORATORIES OFAMERICA, UNITED STATES
IMSP-L8.2: SHOT TYPE CLASSIFICATION BY DOMINANTCOLORFOR SPORTS VIDEO ILL
-173 SEGMENTATIONAND SUMMARIZATION AHMET EKIN, UNIVERSITY OFROCHESTER,
UNITED STATES; A, MURAT TEKALP, UNIVERSITY OFROCHESTER, UNITED
STATES/KOC UNIVERSITY, TURKEY
IMSP-L8.3: A MULTI-MODAL-FEATUREBASEDALGORITHMFOR PARSING NEWS ILL -177
PROGRAM VIDEOS HSUAN-WEI CHEN, JIN-HAU KUO, JEN-HAO YEH, JA-LING WU,
CHIA-CHIANG HO, NATIONAL TAIWAN UNIVERSITY, TAIWAN
IMSP-L8.4: VIDEO SHOT SEGMENTATION USING SINGULAR VALUEDECOMPOSITION ILL
-181 ZUZANA EERNEKOVD, CONSTANTINE KOTROPOULOS, IOANNIS PITAS, ARISTOTLE
UNIVERSITY OFTHESSALONIKI, GREECE
IMSP-L8.5: REAL-TIME CAMERA FIELD-VIEW TRACKING IN SOCCERVIDEO ILL -185
KONGWAH WAN, JOO-HWEE LIM, CHANGSHENG XU, XINGUO YU, LABORATORIES FOR
INFORMATION TECHNOLOGY, SINGAPORE
IMSP-L8.6: A FUSION SCHEME OF VISUAL AND AUDITORY MODALITIES FOREVENT
ILL -189 DETECTION IN SPORTS VIDEO MIN XU, LING-YU DUAN, CHANGSHENG XU,
QI TIAN, LABORATORIES FOR INFORMATION TECHNOLOGY, SINGAPORE
IMSP-P1: FACE ANALYSIS
IMSP-P1.1: AUTOMATIC 3D FACE VERIFICATION FROM RANGE DATA ILL -193 GANG
PAN, ZHAOHUI WU, YUNHE PAN, ZHEJIANG UNIVERSITY, CHINA
IMSP-P1.2: HMM RECOGNITION OF EXPRESSIONS IN UNRESTRAINED VIDEO ILL -197
INTERVALS JOSE LUIS LANDABASO, MONTSE PARDAS, ANTONIO BONAFONTE,
UNIVERSITAT POLITECNICA DE CATALUNYA, SPAIN
XLVI
IMAGE 6
IMSP-P1.3: A NOVEL PERSONAL BIOMETRIC AUTHENTICATION TECHNIQUE USING HI
- 201 HUMAN IRIS BASED ON FRACTAL DIMENSIONFEATURES WEN-SHIUNG CHEN,
SHANG-YUAN YUAN, NATIONAL CHI NAN UNIVERSITY, TAIWAN
IMSP-P1.4: FACIAL FEATURETRACKING COMBINING MODEL-BASED AND ILL - 205
MODEL-FREEMETHOD JIANYU WANG, HARBIN INSTITUTE OFTECHNOLOGY, CHINA; WEN
GAO, HARBIN INSTITUTE OF TECHNOLOGY / FRJDL, CHINA; SHIGUANG SHAN,
FRJDL, CHINA; XIAOPENG HU, WUHAN UNIVERSITY, CHINA
IMSP-P1.5: AHIERARCHICALFRAMEWORKFOR FACE TRACKINGUSINGSTATE ILL - 209
VECTOR FUSION FOR COMPRESSED VIDEO JUN WANG, RADHAKRISHNA ACHANTA, MOHAN
KANKANHALLI, PHILIPPE MULHEM, NATIONAL UNIVERSITY OFSINGAPORE, SINGAPORE
IMSP-P1.6: ROTATED FACE DETECTION IN COLOR IMAGES USING RADIAL TEMPLATE
IH - 213 (RT) HENG LIU, HARBIN INSTITUTE OFTECHNOLOGY, CHINA; SHENGYE
YAN, BEIJING POLYTECHNIC UNIVERSITY, CHINA; XILIN CHEN, HARBIN INSTITUTE
OFTECHNOLOGY, CHINA; WEN GAO, INSTITUTE OFCOMPUTING TECHNOLOGY, CHINA
IMSP-P1.7: A NEW REAL-TIME LIP CONTOUR EXTRACTION ALGORITHM ILL - 217
SHI LIN WANG, WING HONG LAU, SHU-HUNG LEUNG, CITY UNIVERSITY OFHONG
KONG, HONG KONG SAR OFCHINA
IMSP-P1.8: SOFT MARGIN ADABOOSTFOR FACE POSE CLASSIFICATION ILL - 221
YING GUO, GEOFFPOULTON, JIAMING LI, MARK HEDLEY, RONG-YU QIAO, CSIRO,
AUSTRALIA
IMSP-P1.9: SIMULTANEOUS TRACKINGAND RECOGNITIONOF HUMAN FACES FROM HI -
225 VIDEO SHAOHUA ZHOU, RAMA CHELLAPPA, UNIVERSITY OFMARYLAND, UNITED
STATES
IMSP-P1.11: NOVEL EXAMPLE-BASEDSHAPE LEARNING FOR FASTFACEALIGNMENT IH -
229
XIUJUAN CHAI, HARBIN INSTITUTE OFTECHNOLOGY, CHINA; SHIGUANG SHAN, WEN
GAO, INSTITUTE OFCOMPUTING TECHNOLOGY, CHINA; BO CAO, INSTITUTE
OFCOMPUTING TECHNOLGOY, CHINA
IMSP-P1.12: IMPROVING FACE AUTHENTICATIONUSING VIRTUAL SAMPLES IH - 233
NORMAN POH HOON THIAN, SEBASTIEN MARCEL, SAMY BENGIO, IDIAP, SWITZERLAND
IMSP-P2: LOSSLESS AND LOSSY IMAGECODING
IMSP-P2.1: A GENERAL FRAMEWORKFORTHE SECOND-LEVELADAPTIVE HI - 237
PREDICTION GUANG DENG, HUA YE, LATROBE UNIVERSITY, AUSTRALIA
IMSP-P2.2: PARTITIONED VECTOR QUANTIZATION:APPLICATION TO LOSSLESS HI -
241 COMPRESSION OFHYPERSPECTRAL IMAGES GIOVANNI MOTTA, FRANCESCO RIZZO,
JAMES STORER, BRANDEIS UNIVERSITY, UNITED STATES
IMSP-P2.3: LEVEL-EMBEDDED LOSSLESS IMAGE COMPRESSION IH - 24
MEHMET CELIK, A. MURAT TEKALP, UNIVERSITY OFROCHESTER, UNITED STATES;
GAURAV SHARMA, XEROX CORPORATION, UNITED ST
IMSP-P2.4: LOSSLESS AND LOSSY MINIMAL REDUNDANCY PYRAMIDAL HI
DECOMPOSITION FOR SCALABLE IMAGE COMPRESSION TECHNIQUE MARIE BABEL,
OLIVIER DEFORGES, UMR CNRS 6164IETR/INSA RENNES, FRANCE
IMSP-P2.5: ENHANCED PARTIAL-SPIHT FOR LOSSLESS AND LOSSY IMAGE D3 - 253
COMPRESSION AHMED ABU-HAJAR, RAVISANKAR, UNIVERSITY OFSOUTH FLORIDA,
UNITED STATES
IMSP-P2.6: MULTIPLE, ARBITRARY SHAPEROI CODING WITH ZEROTREE BASED HI -
257 WAVELET CODERS AYSEGUL CUHADAR, SINAN TASDOKEN, CARLETON UNIVERSITY,
CANADA
IMSP-P2.7: SUCCESSIVEBIT-PLANE RATE ALLOCATION TECHNIQUE FOR JPEG2000 HI
- 261 IMAGE CODING YICKMING YEUNG, OSCAR C. AU, ANDY CHANG, HKUST, HONG
KONG SAR OFCHINA
XLVII
IMAGE 7
IMSP-P2.8: AN IMPROVED EDGE-MODEL BASED REPRESENTATIONAND ITS HI. 265
APPLICATIONIN IMAGE POST-PROCESSING CHI-KEUNG FONG, WAI-KUEN CHAM,
CHINESE UNIVERSITY OF HONG KONG, HONG KONG SAR OF CHINA
IMSP-P2.9: A NEW FUZZY REINFORCEMENTLEARNINGVECTOR QUANTIZATION IH. 269
ALGORITHM FOR IMAGE COMPRESSION WENHUAN XU, ASOKE NANDI,
UNIVERSITYOFLIVERPOOL, UNITED KINGDOM; JIHONG ZHANG, SHENZHEN
UNIVERSITY, CHINA
IMSP-P2.10: ERROR RESILIENT PRE-/POST-FILTERING FOR DCT-BASED BLOCK ILL
- 273 CODING SYSTEMS CHENGJIE TU, TRAC TRAN, JIE LIANG, THE JOHNS
HOPKINS UNIVERSITY, UNITED STATES
IMSP-P2.IL: EMBEDDED QUADTREE-BASED IMAGE COMPRESSION IN DCT DOMAIN ILL
- 277 XINGSONG HOU, GUIZHONG LIU, YIYANGZOU, XVAN JIAOTONG UNIVERSITY,
CHINA
IMSP-P2.12: CONSTRAINED TEXTURE SYNTHESIS FOR IMAGE POST PROCESSING ILL
- 281 YU HEN HU, RAJAS SAMBHARE, UNIVERSITYOF WISCONSIN, MADISON, UNITED
STATES
IMSP-P3: MULTIDIMENSIONAL SIGNAL PROCESSING THEORY AND METHODS
IMSP-P3.1: TRANSFORMATION OF LOCAL SPATIO-TEMPORAL STRUCTURE TENSOR ILL
- 285 FIELDS MATS ANDERSSON, HANS KNUTSSON, LINKOPING UNIVERSITY, SWEDEN
IMSP-P3.2: VECTOR SPACE SOLUTION TO THE MULTIDIMENSIONAL YULE-WALKER ILL
- 289
EQUATIONS STEVEN KAY, UNIVERSITY OFRHODE ISLAND, UNITED STATES;
CHRISTOPHER CARBONE, NAVAL UNDERSEA WARFARE CENTER, UNITED STATES
IMSP-P3.3: NON-NEGATIVE MATRIX FACTORIZATION FOR VISUAL CODING ILL - 293
WEIXIANG LIU, NANNING ZHENG, XIAOFENG LU, XVAN JIAOTONG UNIVERSITY,
CHINA
IMSP-P3.4: ANEW CLASS OFENTROPY ESTIMATORS FOR MULTI-DIMENSIONAL ILL -
297 DENSITIES ERIK MILLER, UNIVERSITY OF CALIFORNIA, BERKELEY, UNITED
STATES
IMSP-P3.5: RECURSIVE FILTERING FOR SPLINES ONHEXAGONAL LATTICES ILL -
301
DIMITRI VAN DE VILLE, THIERRY BLU, MICHAEL UNSER, SWISS FEDERAL
INSTITUTE OF TECHNOLOGY (EPFL), SWITZERLAND
IMSP-P3.6: MODELINGAND ESTIMATION OF SPATIAL RANDOM TREES WITH ILL - 305
APPLICATION TO IMAGE CLASSIFICATION ILYA POLLAK, JEFFREY SISKIND, MARY
HARPER, CHARLES BOUMAN, PURDUE UNIVERSITY, UNITED STATES
IMSP-P3.7: A FAST AND EFFICIENT COMPUTATIONAL STRUCTURE FOR THE 2D ILL -
309 OVER-COMPLETEWAVELET TRANSFORM NGAI-FONG LAW, WAN-CHI SIU, HONG KONG
POLYTECHNIC UNIVERSITY, HONG KONG SAR OFCHINA
IMSP-P3.8: AUTOMATIC IMAGE REGISTRATION BY STOCHASTIC OPTIMIZATION OF
ILL - 313 MUTUAL INFORMATION ARLENE COLE-RHODES, ABAKE ADENLE, MORGAN
STATE UNIVERSITY, UNITED STATES
IMSP-P3.9: SYMMETRIC RESIDUE PYRAMIDS - AN EXTENSION OF BURTLAPLACIAN
ILL - 317 PYRAMIDS SUBRATA RAKSHIT, MALAY NEMA, CENTRE FOR AI AND
ROBOTICS, INDIA
IMSP-P3.10: JOINTLY OPTIMIZED ERROR FEEDBACK AND REALIZATION FOR ILL -
321 ROUNDOFF NOISE MINIMIZATION IN TWO-DIMENSIONAL STATE-SPACE DIGITAL
FILTERS TAKAO HINAMOTO, KEISUKE HIGASHI, HIROSHIMA UNIVERSITY, JAPAN;
WU-SHENG LU, UNIVERSITY OF VICTORIA, CANADA
IMSP-P3.IL: A PARALLEL ALGORITHM FOR SOLVINGTHEEIKONALEQUATION ILL - 325
EVA DEJNOZKOVA, PETR DOKLADAL, SCHOOL OFMINES OFPARIS, FRANCE
XLVIII
IMAGE 8
IMSP-P3.12: ITERATIVE DECODING OF TWO-DIMENSIONAL HIDDEN MARKOV ILL -
329 MODELS FLORENT PERRONNIN, JEAN-LUC DUGELAY, EURECOM INSTITUTE,
FRANCE; KENNETH ROSE, UNIVERSITY OFCALIFORNIA, SANTA BARBARA, UNITED
STATES
IMSP-P4: IMAGEAND VIDEO SEGMENTATION
IMSP-P4.1: ROBUST FULLY-AUTOMATIC SEGMENTATION BASED ON MODIFIED ILL -
333 EDGE-FOLLOWING TECHNIQUE Y.B. CHEN, OSCAL T.-C. CHEN, NATIONAL CHUNG
CHENG UNIVERSITY, TAIWAN
IMSP-P4.2: BUILDING EXTRACTION FROM DIGITAL ELEVATION MODELS ILL. 337
MATHIAS ORTNER, XAVIER DESCOMBES, JOSIANE ZERUBIA, INRIA-CNRS-UNSA,
FRANCE
IMSP-P4.3: FAST ESTIMATION OF THE NUMBER OF TEXTURE SEGMENTS USING ILL -
341 CO-OCCURRENCE STATISTICS GOU-CHOL POK, YANBIAN UNIVERSITY OFSCIENCE
AND TECHNOLOGY, CHINA; JYH-CHARN LIU, TEXAS A&M UNIVERSITY, UNITED
STATES; KEUN HO RYU, CHUNGBUK NATIONAL UNIVERSITY, REPUBLIC OFKOREA
IMSP-P4.4: COLORIMAGE SEGMENTATION USINGDENSITY-BASED CLUSTERING ILL -
345
QI XIANG YE, WEN GAO, CHINESEACADEMY OF SCIENCES, CHINA; WEI ZENG,
HARBIN INSTITUTE OFTECHNOLOGY, CHINA
IMSP-P4.5: REAL-TIMEADAPTIVE BACKGROUND SEGMENTATION ILL-349 DARREN
BUTLER, SRIDHA SRIDHARAN, QUEENSLAND UNIVERSITY OFTECHNOLOGY, AUSTRALIA;
V. MICHAEL BOVE JR, MASSACHUSETTS INSTITUTE OFTECHNOLOGY, UNITED STATES
IMSP-P4.6: ADAPTIVE SKIN SEGMENTATION IN COLOR IMAGES ILL- 353
SON LAM PHUNG, DOUGLAS CHAI, ABDESSELAM BOUZERDOUM, EDITH COWAN
UNIVERSITY, AUSTRALIA
IMSP-P4.7: THE GENERALIZED RADIALHILBERT TRANSFORMAND ITS APPLICATIONS
ILL - 357 TO 2-D EDGEDETECTION (ANYDIRECTION OR SPECDTIED DIRECTIONS)
SOO-CHANG PEL, JIAN-JIUN DING, NATIONAL TAIWAN UNIVERSITY, TAIWAN
IMSP-P4.8: SEGMENTATION OF VEHICLES AND PEDESTRIANS IN TRAFFIC SCENE BY
IH - 361 SPATIO-TEMPORAL MARKOV RANDOM FIELD MODEL SHUNSUKE KAMIJO,
MASAO SAKAUCHI, UNIVERSITY OF TOKYO, JAPAN
IMSP-P4.9: SUPERVISED VIDEO OBJECT SEGMENTATION USING A SMALLNUMBER M -
365 OF INTERACTIONS HANFENG CHEN, FEIHU QI, SU ZHANG, SHANGHAI JIAOTONG
UNIVERSITY, CHINA
IMSP-P4.10: ANALGORITHM FORSEGMENTINGMOVING VEHICLES IH - 369
SU ZHANG, HANFENG CHEN, SHANGHAI JIAOTONG UNIVERSITY, CHINA; ZHERU CHI,
HONG KONG POLYTECHNIC UNIVERSITY, HONG KONGSAR OFCHINA; PENGFEI SHI,
SHANGHAI JIAO TONG UNIVERSITY, CHINA
IMSP-P4.U: AN UNSUPERVISED APPROACHTO COLOR VIDEO THRESHOLDING IH - 373
ELIZA YINGZI DU, CHEIN-I CHANG, UNIVERSITY OFMARYLAND, BALTIMORE COUNTY,
UNITED STATES; PAUL D. THOUIN, US
DEPARTMENT OFDEFENSE, UNITED STATES
IMSP-P4.12: A WATERSHED-BASEDIMAGE SEGMENTATION USING JND PROPERTY HI -
377
DAY-FANN SHEN, MING-TSONGHUANG, NATIONAL YUNLIN UNIVERSITYOFSCIENCE &
TECHNOLOGY, TAIWAN
IMSP-P5: VIDEOCODING II
IMSP-P5.1: RIDGELET TRANSFORM APPLIED TO MOTION COMPENSATED IMAGES HI -
381
LORENZO GRANAI, SWISS FEDERAL INSTITUTE OFTECHNOLOGY (EPFL),
SWITZERLAND; FULVIO MOSCHETTI, NTT DOCOMO, INC., JAPAN; PIERRE
VANDERGHEYNST, SWISS FEDERAL INSTITUTE OFTECHNOLOGY (EPFL), SWITZERLAND
IMSP-P5.2: A HEURISTIC SEARCHMETHOD OF ADAPTIVEINTERPOLATION FILTERS IN
M - 385
MOTION COMPENSATED PREDICTIVE VIDEO CODING HUIPIN ZHANG, FRANK BOSSEN,
DOCOMO USA LABS, UNITED STATES
XLIX
IMAGE 9
IMSP-P5.3: FAST INTRA-PREDICTION MODE SELECTION FOR 4X4 BLOCKS IN H.264
IH - 389
BOJUN MENG, OSCAR C. AU, HONG KONG UNIVERSITY OFSCIENCE AND TECHNOLOGY,
HONG KONG SAR OF CHINA
IMSP-P5.4: FULLY SCALABLE TEXTURE CODING OF ARBITRARILY SHAPED VIDEO HI
- 393
OBJECTS HABIBOLLAH DANYALI, ALFRED MERTINS, UNIVERSITY OFWOLLONGONG,
AUSTRALIA
IMSP-P5.5: A NEW REAL-TIME PATTERN SELECTION ALGORITHMFORVERY LOW ILL -
397
BIT-RATE VIDEO CODING FOCUSING ON MOVING REGIONS
MANORANJAN PAUL, MANZUR MURSHED, LAURENCE DOOLEY, MONASH UNIVERSITY,
AUSTRALIA
IMSP-P5.6: RATE-DISTORTION ANALYSIS OFTHE MULTIPLE DESCRIPTION MOTION
ILL - 401
COMPENSATION VIDEO CODING SCHEME SHUNAN LIN, POLYTECHNIC UNIVERSITY,
UNITED STATES; ANTHONY VETRO, MITSUBISHI ELECTRIC RESEARCH LABORATORIES,
UNITED STATES; YAO WANG, POLYTECHNIC UNIVERSITY, UNITED STATES
IMSP-P5.7: STRUCTURED TRUNCATEDGOLOMB CODE FOR CONTEXT-BASED ILL - 405
ADAPTIVE VLC SADAATSU KATO, KAZUO SUGIMOTO, SATORU ADACHI, MINORA ETOH,
NTTDOCOMO, INC., JAPAN
IMSP-P5.8: VIDEO CODING BASED ON TRUE MOTION ESTIMATION ILL - 409
EE PING ONG, LABORATORIESFOR INFORMATION TECHNOLOGY, SINGAPORE; HUA
WANG, PING XUE, NANYANG TECHNOLOGICAL UNIVERSITY, SINGAPORE
IMSP-P5.9: A NOVEL APPROACHTO FAST MULTI-FRAME SELECTION FOR H.264 VIDEO
ILL - 413 CODING ANDY CHANG, OSCAR C. AU, YICKMING YEUNG, HKUST, HONG
KONG SAR OFCHINA
IMSP-P5.10: FULLY-SCALABLE WAVELET VIDEO CODING USING IN-BAND MOTION ILL
- 417 COMPENSATED TEMPORAL FILTERING YIANNIS ANDREOPOULOS, VRIJE
UNIVERSITEIT BRUSSEL, BELGIUM; MIHAELA VAN DER SCHAAR, PHILIPS RESEARCH
USA, UNITED STATES; ADRIAN MUNTEANU, JOERI BARBARIEN, PETER SCHELKENS,
JAN CORNELLS, VRIJE UNIVERSITEIT BRUSSEL, BELGIUM
IMSP-P5.IL: EFFICIENTTHREE-STEP SEARCH ALGORITHMFORBLOCK MOTION ILL -
421
ESTIMATION IN VIDEO CODING LAP-PUI CHAU, XUAN JING, NANYANG
TECHNOLOGICAL UNIVERSITY, SINGAPORE
IMSP-P5.12: MULTIPLE DESCRIPTION AND MATCHING PURSUIT CODING FOR VIDEO
HI - 425 TRANSMISSION OVERTHE INTERNET. HSI-TZENG CHAN, CHUNG-LIN HUANG,
NATIONAL TSING-HUA UNIVERSITY, TAIWAN
IMSP-P6: IMAGE PROCESSING: APPLICATIONS
IMSP-P6.1: SIMULTANEOUS GROUP AND PHASE CORRECTION FOR THE ESTIMATION
ILL - 429
OFDISPERSIVE PROPAGATING WAVES IN THE TIME-FREQUENCYPLANE ANTOINE
ROUEFF, LABORATOIRE DES IMAGES ET DES SIGNAUX, GRENOBLE, FRANCE; JERDME
MARS, LABORATOIRE DES IMAGES ET DES SIGNAUX, LIS, FRANCE; JOCELYN
CHANUSSOT, LABORATOIRE DES IMAGES ET DES SINGAUX, LIS, FRANCE; HELLE
PEDERSON, LGIT,
FRANCE
IMSP-P6.2: BLIND ESTIMATION OF LONG IMPULSE RESPONSE AND NON-MINIMUM ILL
- 433 PHASE WAVELETS: APPLICATION TO SEISMIC DATA BENAYAD NSIRI, THIERRY
CHONAVEL, JEAN-MARC BOUCHER, ENST BRETAGNE, FRANCE
IMSP-P6.3: UNSUPERVISED HYPERSPECTRAL IMAGE CLASSIFICATION USING BLIND
ILL - 437 SOURCE SEPARATION QIAN DU, SUMIT CHAKRARVARTY, TEXAS A&M
UNIVERSITY, KINGSVILLE, UNITED STATES
IMSP-P6.4: ANEW ALGORITHM FOR RETRIEVAL OF 2D EXPONENTIALS ILL - 441
YIBIN ZHENG, UNIVERSITY OFVIRGINIA, UNITED STATES
IMSP-P6.5: TWO-DIMENSIONAL FREQUENCY ESTIMATION USING ILL - 445
AUTOCORRELATION PHASE FITTING ANTHONY SOURICE, GUY PLANTIER, ECOLE
SUPERIEURE D ELECTRONIQUE DE VOUEST, FRANCE; JEAN-LOUIS SAUMET,
LABORATOIRE DE
PHYSIOLOGIC FRANCE
I
IMAGE 10
IMSP-P6.6: SAR IMAGEENHANCEMENT FOR SMALL TARGET DETECTION ILL - 449
JINGXIN ZHANG, DEAKIN UNIVERSITY, AUSTRALIA; JIM SCHROEDER, DSPACE PTY
LTD., AUSTRALIA; NICHOLASJ REDDING, DEFENCE SCIENCE AND TECHNOLOGY
ORGANISATION, AUSTRALIA
IMSP-P6.7: THE FISHER INFORMATION MATRIXFOR TWO-DIMENSIONAL DATA SETS
ILL - 453
ZHIPING LIN, QIYUE ZOU, NANYANG TECHNOLOGICAL UNIVERSITY, SINGAPORE;
RAIMUNDJ. OBER, UNIVERSITY OF TEXAS, DALLAS, UNITED STATES
IMSP-P6.8: MULTIDIMENSIONAL SIGNAL PROCESSINGUSING LOWER-RANK TENSOR ILL
- 457 APPROXIMATION DAMIEN MUTI, SALAH BOURENNANE, INSTITUT FRESNEL /
CNRS UMR 6133, FRANCE
IMSP-P6.9: HOMOMORPHIC PROCESSINGTECHNIQUES FOR NEAR-INFRARED ILL - 461
IMAGES WEN-HUNG LIAO, DAI-YUN LI, NATIONAL CHENGCHI UNIVERSITY, TAIWAN
IMSP-P6.10: CARDIACMOTION AND MATERIAL PROPERTIES ANALYSIS USINGDATA ILL
- 465 CONFIDENCE WEIGHTED EXTENDED KALMAN FILTER FRAMEWORK HUAFENG LIU,
LUNG NGONG WONG, PENGCHENG SHI, HONG KONG UNIVERSITY OFSCIENCE AND
TECHNOLOGY, HONGKONG SAR OF CHINA
IMSP-P6.IL: ONGENERALIZED SAMPLING FOR IMAGE-BASED RENDERING DATA ILL -
469 CHA ZHANG, TSUHAN CHEN, CARNEGIE MELLON UNIVERSITY, UNITED STATES
IMSP-P6.12: STEREOSCOPIC PANORAMIC VIDEO GENERATION USING ILL - 473
CENTRO-CIRCULAR PROJECTION TECHNIQUE CHAMINDA WEERASINGHE, WANQING LI,
PHILIP OGUNBONA, MOTOROLA AUSTRALIAN RESEARCH CENTRE, AUSTRALIA
IMSP-P7: IMAGEAND VIDEOANALYSIS I
IMSP-P7.1: AN ADAPTIVE INITIALIZATION TECHNIQUE FOR COLOR QUANTIZATION
BY ILL- 477 SELF ORGANIZING FEATURE MAP CHIP-HONG CHANG, RUI XIAO,
THAMBIPILLAI SRIKANTHAN, NANYANG TECHNOLOGICAL UNIVERSITY, SINGAPORE
IMSP-P7.2: THE LIGHTSPACE CHANGE CONSTRAINTEQUATION (LCCE) WITH HI - 481
PRACTICAL APPLICATION TO ESTIMATION OF THE PROJECTIVITY+GAIN
TRANSFORMATION BETWEEN MULTIPLE PICTURES OF THESAME SUBJECT MATTER STEVE
MANN, COREY MANDERS, JAMES FUNG, UNIVERSITYOF TORONTO, CANADA
IMSP-P7.3: CONTEXT-BASED GRAPHICAL MODELINGFOR WAVELET DOMAIN SIGNAL M -
485 PROCESSING NILANJAN DASGUPTA, LAWRENCE CARIN, DUKE UNIVERSITY,
UNITED STATES
IMSP-P7.4: TEMPORAL REGISTRATION OF VIDEO SEQUENCES IH - 489
HUI CHENG, SARNOFF CORPORATION, UNITED STATES
IMSP-P7.5: STATISTICAL SHAPE THEORY FOR ACTIVITY MODELING IH - 493
NAMRATA VASWANI, UNIVERSITY OFMARYLAND, UNITED STATES; AMIT ROY
CHOWDHURY, UNIVERSITY OFMARYLAND, UNITED STATES; RAMA CHELLAPPA,
UNIVERSITY OFMARYLAND, UNITED STATES
IMSP-P7.6: VIDEO SYNTHESIS OF ARBITRARYVIEWS FOR APPROXIMATELY PLANAR M
- 497 SCENES AMIT ROY CHOWDHURY, AMIT KALE, RAMA CHELLAPPA, UNIVERSITY
OFMARYLAND, UNITED STATES
IMSP-P7.7: EVIDENCE-BASED OBJECT TRACKING VIA GLOBAL ENERGY HI - 501
MAXIMIZATION JOHN CARTER, PELO LAPPAS, ROBERT DAMPER, UNIVERSITY OF
SOUTHAMPTON, UNITED KINGDOM
IMSP-P7.8: DETECTION OF 3D SYMMETRY AXIS FROM FRAGMENTS OF A BROKEN IH -
505 POTTERYBOWL FENGHUI YAO, SHIMANE UNIVERSITY, JAPAN; GUIFENG SHAO,
SEINAN GAKUIN UNIVERSITY, JAPAN
IMSP-P7.9: ^SUPER-RESOLUTION CURVE ANDIMAGE REGISTRATION HI - 509
MINGHUI XIA, BEDE LIU, PRINCETON UNIVERSITY, UNITED STATES
LI
IMAGE 11
IMSP-P8: WATERMARKING II
IMSP-P8.1: WATERMARKING LOW BIT-RATE ADVANCED SIMPLE PROFILE MPEG-4 HI.
513 BITSTREAMS ADNAN ALATTAR, DIGIMARC, UNITED STATES; EUGENE LIN,
PURDUE UNIVERSITY, UNITED STATES; MEHMET CELIK, UNIVERSITY OF ROCHESTER,
UNITED STATES
IMSP-P8.2: HIGH CAPACITY REVERSIBLE DATA EMBEDDING AND CONTENT ILL. 517
AUTHENTICATION JUN TIAN, DIGIMARC, UNITED STATES
IMSP-P8.3: COLOR IMAGE WATERMARKING USING QUATERNION FOURIER ILL - 521
TRANSFORM PATRICK BAS, NICOLAS LE BIHAN, JEAN-MARC CHASSERY, LABORATOIRE
DES IMAGES ET DES SIGNAUX, FRANCE
IMSP-P8.4: WAVELET FILTER EVALUATIONFOR IMAGEWATERMARKING ILL - 525
SHIH-HSUAN YANG, NATIONAL TAIPEI UNIVERSITY OFTECHNOLOGY, TAIWAN
IMSP-P8.5: A NOVELMETHOD TO EMBEDWATERMARK IN DIFFERENT HALFTONE ILL -
529 IMAGES: DATA HIDING BY CONJUGATE ERROR DIFFUSION (DHCED) MING SUN
FU, OSCAR C. AU, HONG KONG UNIVERSITY OFSCIENCE AND TECHNOLOGY, HONG
KONG SAR OFCHINA
IMSP-P8.6: AN INVERTIBLE WATERMARKING SCHEME FOR AUTHENTICATION OF ILL -
533
ELECTRONIC CLINICAL BRAIN ATLAS YANJIANG YANG, FENG BAO, INFORMATION
SECURITY GROUP, SINGAPORE
IMSP-P8.7: AN OBJECT BASED WATERMARKING SOLUTION FOR MPEG4 VIDEO ILL -
537 AUTHENTICATION DAJUNHE, QIBIN SUN, QI TIAN, LABORATORIES FOR
INFORMATION TECHNOLOGY, SINGAPORE
IMSP-P8.8: A SEMI-BLIND ROBUST WATERMARKING FOR DIGITAL IMAGES ILL - 541
QUAN HE, GUANGCHUAN SU, BEIJING INSTITUTE OF TECHNOLOGY, CHINA
IMSP-P8.9: RELIABLEDETECTION OF LSB STEGANOGRAPHY BASED ON THE ILL - 545
DIFFERENCE IMAGE HISTOGRAM TAO ZHANG, UNIVERSITY OF INFORMATION
ENGINEERING, CHINA; XIJIAN PING, UNVERSITY OFINFORMATION ENGINEERING,
CHINA
IMSP-P8.10: A NOVEL ALGORITHMFOREMBEDDING AND DETECTING DIGITAL ILL -
549 WATERMARKS GUO-RUI FENG, LING-GE JIANG, CHEN HE, DONG-JIAN WANG,
SHANGHAI JIAOTONG UNIVERSITY, CHINA
IMSP-P8.IL: A PARAMETRIC FAMILY OF WAVELET FILTERS FOR DIVERSITY IN ILL
- 553 WATERMARKING APPLICATION SLAVEN MARUSIC, DAVID TAY, GUANG DENG,
LATROBE UNIVERSITY, AUSTRALIA
IMSP-P8.12: A SYMMETRIC KEYWATERMARK FOR HALFTONEIMAGE ILL - 557 OSCAR
C. AU, MING SUN FU, HONG KONG UNIVERSITY OFSCIENCE AND TECHNOLOGY, HONG
KONG SAR OF CHINA
IMSP-P9: IMAGEAND VIDEOINDEXING ANDRETRIEVAL II
IMSP-P9.1: JOINT AUDIO VISUAL RETRIEVAL FOR TENNIS BROADCASTS ILL - 561
ROZENN DAHYOT, ANIL KOKARAM, NIALL REA, HUGH DENMAN, UNIVERSITY
OFDUBLIN, TRINITY COLLEGE, IRELAND
IMSP-P9.2: INVARIANT CONTENT-BASED IMAGE RETRIEVAL BY WAVELET ENERGY ILL
- 565 SIGNATURES CHI-MAN PUN, UNIVERSITY OF MACAU, MACAO SAR OFCHINA
IMSP-P9.3: GAUSSIAN MIXTURE MODELS OF TEXTURE AND COLOURFORIMAGE ILL -
569 DATABASE RETRIEVAL HAIM PERMUTER, JOSEPH FRANCOS, BEN-GURION
UNIVERSITY, ISRAEL; IAN JERMYN, INRIA SOPHIA ANTIPOLIS, FRANCE
IMSP-P9.4: DYNAMIC-SEGMENTATION-BASED FEATURE DIMENSION REDUCTION FOR
ILL - 573 QUICK AUDIO/VIDEO SEARCHING AKISATO KIMURA, KUNIO KASHINO,
TAKAYUKI KUROZUMI, HIROSHI MURASE, NTT CORPORATION, JAPAN
HI
IMAGE 12
IMSP-P9.5: IMAGE INDEXING BY MODIFIED COLOR CO-OCCURRENCE MATRIX ILL -
577 SEONG-0 SHIM, TAE-SUN CHOI, KWANGJU INSTITUTE OF SCIENCE AND
TECHNOLOGY, REPUBLIC OFKOREA
IMSP-P9.6: AROBUST STATISTIC METHODFOR CLASSIFYING COLOR POLARITY OF IH
- 581 VIDEO TEXT JIQIANG SONG, MIN CAI, MICHAEL R. LYU, CHINESE
UNIVERSITY OFHONG KONG, CHINA
IMSP-P9.7: IMAGE RETRIEVAL BASED ON HISTOGRAM OF NEW FRACTAL PARAMETERS
IH - 585 MINGHONG PI, MRINAL MANDAL, ANUP BASU, UNIVERSITY OFALBERTA,
CANADA
IMSP-P9.8: REGION-OF-INTEREST BASED FLOWER IMAGES RETRIEVAL ILL - 589
ANXIANG HONG, ZHERU CHI, HONG KONG POLYTECHNIC UNIVERSITY, HONG KONG SAR
OFCHINA; GANG CHEN, ZHEJIANG UNIVERSITY, CHINA; ZHIYONG WANG, HONG KONG
POLYTECHNIC UNIVERSITY, HONG KONG SAR OFCHINA
IMSP-P9.9: SHAPE RETRIEVAL WITH ROBUSTNESS AGAINSTPARTIAL OCCLUSION HI -
593 MICHAEL HOEYNCK, JENS-RAINER OHM, AACHEN UNIVERSITY (RWTH), GERMANY
IMSP-P9.10: APPEARANCE INDEXING ILL - 597
GUOPING QIU, UNIVERSITY OFNOTTINGHAM, UNITED KINGDOM
IMSP-P9.IL: A NOVEL HISTOGRAM-BIASING FACTOR FOR FAST SORTED M - 601
HISTOGRAM-BASED MEASUREMENT IN LARGE IMAGE DATABASE RETRIEVAL SYSTEM
CHUN-HO CHEUNG, LAI-MAN PO, CITY UNIVERSITY OF HONG KONG, HONGKONG SAR
OF CHINA
IMSP-P9.12: 2-D FUNCTIONAL ARMODELFORIMAGE IDENTIFICATION IH - 605 MIKI
HASEYAMA, ISAO KONDO, HOKKAIDO UNIVERSITY, JAPAN
IMSP-P10: IMAGEAND VIDEO CODING AND QUALITY
IMSP-P10.1: JUST-NOTICEABLE-DISTORTIONPROFILE WITH NONLINEAR ADDITIVITY
HI - 609 MODEL FOR PERCEPTUAL MASKING IN COLOR IMAGES XIAOKANG YANG,
WEISILIN, ZHONGKANG LU, EE PING ONG, SUSU YAO, LABORATORIES FOR
INFORMATION TECHNOLOGY, SINGAPORE
IMSP-P10.2: PERFORMANCE EVALUATIONOF A PERCEPTUAL RINGINGDISTORTION HI -
613 METRIC FOR DIGITALVIDEO ZHIZHONG ZHE, HONG REN WU, MONASH
UNIVERSITY, AUSTRALIA; ZHENGHUA YU, MOTOROLA AUSTRALIAN RESEARCH CENTRE,
AUSTRALIA; TIM FERGUSON, DAMIAN TAN, MONASH UNIVERSITY, AUSTRALIA
IMSP-P10.3: PERCEPTUAL-QUALITY SIGNIFICANCE MAP (PQSM) AND ITS
APPLICATION IH - 617 ON VIDEO QUALITY DISTORTION METRICS ZHONGKANG LU,
WEISI LIN, EE PING ONG, SUSU YAO, XIAOKANG YANG, LABORATORIESFOR
INFORMATION TECHNOLOGY, SINGAPORE
IMSP-P10.4: CONTENT-ADAPTIVE FILTERING IN THEUMCTF FRAMEWORK ILL - 621
DEEPAK TURAGA, MIHAELA VAN DER SCHAAR, PHILIPS RESEARCH USA, UNITED
STATES
IMSP-P10.5: A SMOOTH EXTENSION FOR THE NONEXPANSIVE ORTHOGONAL M - 625
WAVELETDECOMPOSITION OF FINITE LENGTH SIGNALS TOSHIYUKI UTO, MASAAKI
IKEHARA, KEIO UNIVERSITY, JAPAN
IMSP-P10.6: EFFICIENT FACE CODING INVIDEO SEQUENCES COMBINING ADAPTD7E
HI - 629 PRINCIPAL COMPONENT ANALYSIS ANDA HYBRID CODEC APPROACH ROGER
PIQUE, LUIS TORRES, TECHNICAL UNIVERSITY OF CATALONIA, SPAIN
IMSP-P10.7: 3D MOTION VECTOR CODING WITH BLOCK BASEADAPTIVE HI - 633
INTERPOLATION FILTER ON H.264 HIDEAKI KIMATA, MASAKI KITAHARA, YOSHIYUKI
YASHIMA, NTT CORPORATION, JAPAN
IMSP-P10.8: RATE-DISTORTION OPTIMIZED DATA PARTITIONING FOR VIDEO USING
IH - 637 BACKWARD ADAPTATION JONG CHID YE, YINGWEI CHEN, PHILIPS
RESEARCH - USA, UNITED STATES
IMSP-P10.9: FEW DECODERS IN THE ENCODER: ALOW COMPLEXITYENCODING IH -
641 STRATEGY FOR H.26L GABRIELLA OLMO, CRISTIANO CUCCO, MARCO GRANGETTO,
ENRICO MAGLI, POLITECNICO DI TORINO, ITALY
LIII
IMAGE 13
IMSP-P10.10: A LOCALLY TEMPORAL ADAPTIVE TRANSFORMSCHEME FOR SUB-BAND IH
- 645
VIDEO CODING OSCAR DIVORRA ESCODA, PIERRE VANDERGHEYNST, SWISS FEDERAL
INSTITUTE OFTECHNOLOGY (EPFL), SWITZERLAND
IMSP-P10.IL: A FULLY ADAPTIVE PERFORMANCE-SCALABLEDISTANCE-DEPENDENT ILL
- 649
THRESHOLDINGSEARCH ALGORITHM FOR VIDEO CODING GOLAM SORWAR, MANZUR
MURSHED, LAURENCE DOOLEY, MONASH UNIVERSITY, AUSTRALIA
IMSP-P10.12: THE COMPRESSION OF SIMPLIFIED DYNAMIC LIGHT FIELDS ILL -
653
SHING-CHOW CHAN, KING-TO NG, ZHI-FENG GAN, KIN-LOK CHAN, UNIVERSITY OF
HONG KONG, HONG KONG SAR OF CHINA;
HEUNG-YEUNG SHUM, MICROSOFT RESEARCH ASIA, CHINA
IMSP-P11: IMAGEAND VIDEOANALYSIS II
IMSP-PLL.L: MODIFIED CLT-DOMAIN MOTION ESTIMATION ILL - 657
LINGYAN BI, SOUTH CHINA UNIVERSITY OF TECHNOLOGY, CHINA; KWOK PING CHAN,
UNIVERSITY OF HONG KONG, HONG KONG SAR OF
CHINA; YINGLIN YU, SOUTH CHINA UNIVERSITY OFTECHNOLOGY, CHINA
IMSP-P11.2: SMOOTH CONSTRAINED BLOCK MATCHING CRITERION FOR MOTION ILL -
661
ESTIMATION XUAN JING, CE ZHU, LAP-PUI CHAU, NANYANG TECHNOLOGICAL
UNIVERSITY, SINGAPORE
IMSP-P11.3: MOTION FIELD DISCONTINUITY CLASSIFICATION FOR TENSOR-BASED
ILL - 665
OPTICAL FLOW ESTIMATION HAI-YUN WANG, KAI-KUANG MA, NANYANG
TECHNOLOGICAL UNIVERSITY, SINGAPORE
IMSP-P11.4: A PENTAGONAL FAST BLOCK MATCHINGALGORITHM FOR MOTION ILL -
669 ESTIMATION USING ADAPTIVE SEARCH RANGE YU-CHAN LIM, KYEONG-YUK MIN,
JONG-WHA CHONG, HANYANG UNVERSITY, REPUBLIC OF KOREA
IMSP-P11.5: A TRAINABLE RETRIEVAL SYSTEM FOR CARTOON CHARACTER IMAGES
ILL - 673
MIKI HASEYAMA, ATSUSHI MATSUMURA, HOKKAIDO UNIVERSITY, JAPAN
IMSP-P11.6: HISTOGRAM-BASED IMAGE RETRIEVAL USING GAUSS MIXTURE VECTOR
ILL - 677
QUANTIZATION SANGOH JEONG, STANFORD UNIVERSITY, UNITED STATES; CHEE SUN
WON, DONGGUK UNIVERSITY, REPUBLIC OF KOREA; ROBERTM.
GRAY, STANFORD UNIVERSITY, UNITED STATES
IMSP-P11.7: APERCEPTUALLY SIGNIFICANT BLOCK-EDGE IMPAIRMENT METRIC FOR
ILL - 681 DIGITALVIDEO CODING SHAN SUTHAHARAN, UNIVERSITY OFNORTH
CAROLINA, GREENSBORO, UNITED STATES
IMSP-P11.8: DOUBLY-MRF STEREO MATCHING ILL - 685
LI CHENG, TERRY CAELLI, UNIVERSITY OFALBERTA, CANADA
IMSP-P11.9: A UNIFIEDUNSUPERVISED CLUSTERING ALGORITHMAND ITS FIRST ILL
- 689 APPLICATION TO LANDCOVER CLASSIFICATION YONG YU, LSABELLE BLOCH,
ECOLE NATIONALE SUPERIEURE DES TELECOMMUNICATIONS, FRANCE; ALAIN TROUVE,
UNIVERSITE PARIS 13, FRANCE
IMSP-P11.10: A PEOPLE SIMILARITY BASED APPROACH TO VIDEO INDEXING ILL -
693
PENG WANG, TSINGHUA UNIVERSITY, CHINA; YU-FEI MA, HONG-JIANG ZHANG,
MICROSOFT RESEARCH ASIA, CHINA; SHIQIANG YANG, TSINGHUA UNIVERSITY,
CHINA
IMSP-P11.11: TWO INTELLIGENT ALGORITHMS APPLIED TO AUTOMATIC CHROSOME
ILL - 697 INCISION SHUNREN XIA, ZHEJING UNIVERSITY, CHINA; WEIDONG XU,
YUTANG SHEN, ZHEJIANG UNIVERSITY, CHINA
IMSP-P11.12: MOVING OBJECTDETECTION FROM MPEG BIT STREAM ILL - 701
ZHONGHUA LIANG, ZHENG TAN, PING WANG, XVAN JIAOTONG UNIVERSITY, CHINA
LIV
IMAGE 14
IMSP-P12: IMAGEAND VIDEO RESTORATION
IMSP-P12.1: BAYESIAN HIGH RESOLUTION IMAGE RECONSTRUCTION WITH ILL - 705
INCOMPLETE MULTISENSORLOW RESOLUTION SYSTEMS JAVIER MATEOS, RAFAEL
MOLINA, UNIVERSIDAD DE GRANADA, SPAIN; AGGELOS KATSAGGELOS, NORTHWESTERN
UNIVERSITY, UNITED STATES
IMSP-P12.2: PARAMETER ESTIMATION INSUPER-RESOLUTION IMAGE IN - 709
RECONSTRUCTION PROBLEMS JAVIERABAD, MIGUEL VEGA, RAFAEL MOLINA,
UNIVERSIDAD DE GRANADA, SPAIN; AGGELOS KATSAGGELOS, NORTHWESTERN
UNIVERSITY, UNITED STATES
IMSP-P12.3: PEER REGION DETERMINATION BASED IMPULSIVE NOISE DETECTION
ILL - 713 YING FAI HO, CHINESE UNIVERSITY OFHONG KONG, HONG KONG SAR
OFCHINA
IMSP-P12.4: DEBLOCKING ALGORITHM FOR DCT-BASED COMPRESSEDIMAGES ILL -
717 USINGANISOTROPIC DIFFUSION EUNCHEOL CHOI, MOON GI KANG, YONSEI
UNIVERSITY, REPUBLICOFKOREA
IMSP-P12.5: NEW CLASS OF IMPULSIVE NOISE REDUCTIONFILTERS BASED ON ILL -
721 KERNEL DENSITY ESTIMATION BOGDAN SMOLKA, SILESIAN UNIVERSITY OF
TECHNOLOGY, POLAND; KOSTAS PLATANIOTIS, UNIVERSITY OF TORONTO, CANADA;
RASTISLAV LUKAC, SLOVAK IMAGE PROCESSING CENTER, SLOVAKIA; ANASTASIOS N.
VENETSANOPOULOS, UNIVERSITY OFTORONTO, CANADA
IMSP-P12.6: A VQ-BASED BLUR IDENTIFICATION ALGORITHM ILL - 725
RYO NAKAGAKI, HITACHI, LTD., JAPAN; AGGELOS KATSAGGELOS, NORTHWESTERN
UNIVERSITY, UNITED STATES
IMSP-P12.7: A PDE-BASED METHOD FOR RINGING ARTIFACT REMOVAL ON GRAYSCALE
HI - 729 AND COLOR JPEG2000 IMAGES PASCAL BOURDON, BERTRANDAUGEREAU,
CHRISTIAN OLIVIER, CHRISTIAN CHATELLIER, UNIVERSITY OFPOITIERS, FRANCE
IMSP-P12.8: SEPARATION OF SEMIREFLECTIVE LAYERS USING SPARSE ICA ILL -
733
ALEXANDER BRONSTEIN, MICHAEL BRONSTEIN, MICHAEL ZIBULEVSKY, YEHOSHUA
ZEEVI, TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY, ISRAEL
IMSP-P12.9: DEBLOCKING OFVIDEO SEQUENCES WITH LAPPED EMBEDDED IDCT ILL -
737 LORENZO CAPPELLARI, UNIVERSITY OFPADOVA, ITALY; TRUONG Q. NGUYEN,
UNIVERSITY OF CALIFORNIA, SAN DIEGO, UNITED STATES
IMSP-P12.10: MODEL-BASED SMOOTHING FOR REDUCING ARTIFACTS IN HI - 741
COMPRESSED IMAGES JU JIA ZOU, UNIVERSITY OFSYDNEY, AUSTRALIA; HONG YAN,
CITY UNIVERSITY OFHONG KONG, HONG KONG SAR OFCHINA
IMSP-P12.IL: ANGULAR MULTICHANNEL SIGMA FILTER ILL - 745
RASTISLAV LUKAC, SLOVAK IMAGE PROCESSING CENTER, SLOVAKIA; BOGDAN
SMOLKA, SILESIAN UNIVERSITY OFTECHNOLOGY, POLAND; KONSTANTINOS N.
PLATANIOTIS, ANASTASIOS N. VENETSANOPOULOS, UNIVERSITY OFTORONTO,
CANADA; PAVOL ZAVARSKY, NAGAOKA UNIVERSITY OF TECHNOLOGY, JAPAN
SPED-P1: SIGNAL PROCESSING EDUCATION
SPED-PL.L: SWITCHED CAPACITORS: A BRIDGE BETWEENANALOGAND DIGITAL SP FFL
- 749 ROXANA SAINT-NOM, DANIEL JACOBY, BUENOS AIRES INSTITUTE OF
TECHNOLOGY, ARGENTINA
SPED-P1.2: THE JOY OF LEARNING DSPIN A LARGE CLASS IN - 753
YONG LIAN, NATIONAL UNIVERSITY OFSINGAPORE, SINGAPORE
SPED-P1.3: EVALUATION OF A VIRTUAL TEACHING LABORATORY FOR SIGNAL HI -
757 PROCESSING EDUCATION ELIATHAMBY AMBIKAIRAJAH, JULIEN EPPS, MING
SHENG, BRANKO CELLER, UNIVERSITY OF NEW SOUTH WALES, AUSTRALIA
SPED-P1.4: INNOVATIVE COMMUNICATION DESIGN LAB BASED ON PC SOUND CARD
ILL - 761 AND MATLAB : A SOFTWARE-DEFINED-RADIO OFDMMODEM EXAMPLE
JENG-KUANG HWANG, YUAN-ZE UNIVERSITY, TAIWAN
IV
IMAGE 15
SPED-P1.5: MAKING A CASE FOR ITERATIVE LINEAR EQUATION SOLVERS IN DSP
HI. 765 EDUCATION JOHN H&KON HUS T Y, STAVANGER UNIVERSITY COLLEGE,
NORWAY
SPED-P1.6: USINGDSP HARDWARE TO TEACH MODEM DESIGN AND ANALYSIS ILL -
769
TECHNIQUES THAD WELCH, ROBERT IVES, U.S. NAVAL ACADEMY, UNITED STATES;
MICHAEL MORROW, UNIVERSITY OF WISCONSIN, UNITED STATES; CAMERON WRIGHT,
UNIVERSITY OF WYOMING, UNITED STATES
SPED-P1.7: TEACHING DIGITAL COMMUNICATIONS: A DSP APPROACH ILL - 773
JESUS IBDHEZ, CARLOS PANTALEON, LUIS VIELVA, IGNACIO SANTAMARIA,
UNIVERSITY OFCANTABRIA, SPAIN
SPED-P1.8: OPEN-CONTENT SIGNAL PROCESSING LABORATORIES IN CONNEXIONS ILL
- 777
SWAROOP APPADWEDULA, UNIVERSITY OFILLINOIS, URBANA-CHAMPAIGN, UNITED
STATES; RICHARD BARANIUK, RICE UNIVERSITY, UNITED STATES; MATTHEW BERRY,
MARK BUTALA, UNIVERSITY OFILLINOIS, URBANA-CHAMPAIGN, UNITED STATES;
HYEOKHO CHOI, RICE
UNIVERSITY, UNITED STATES; MARK HAUN, DOUGLAS JONES, UNIVERSITY
OFILLINOIS, URBANA-CHAMPAIGN, UNITED STATES; MICHAEL
KRAMER, PHONAK USA, INC., UNITED STATES; DIMA MOUSSA, UNIVERSITY OF
ILLINOIS, URBANA-CHAMPAIGN, UNITED STATES; LEE
POTTER, OHIO STATE UNIVERSITY, UNITED STATES; DANIEL SACHS, BRIAN WADE,
UNIVERSITY OFILLINOIS, URBANA-CHAMPAIGN, UNITED
STATES; RAYMOND WAGNER, RICE UNIVERSITY, UNITED STATES
SPED-P1.9: MULTIMEDIA LEARNING OBJECTS FOR DIGITAL SIGNAL PROCESSING IN
ILL - 781 COMMUNICATIONS AMIRASIF YORK UNIVERSITY, CANADA
SPED-P1.10: ON-LINE LABORATORIESFOR IMAGE AND TWO-DIMENSIONAL SIGNAL ILL
- 785 PROCESSING USING 2D J-DSP MUHAMMAD YASIN, LINA KARAM, ANDREAS
SPANIAS, ARIZONA STATE UNIVERSITY, UNITED STATES
VOLUME IV
SPCOM-LL: DETECTION
SPCOM-LL.L: SPHERE-CONSTRAINED ML DETECTION FORFREQUENCY-SELECTIVE IV -1
CHANNELS HARISVIKALO, BABAK HASSIBI, CALIFORNIA INSTITUTE OF TECHNOLOGY,
UNITED STATES; URBASHI MITRA, UNIVERSITY OF SOUTHERN
CALIFORNIA, UNITED STATES
SPCOM-L1.2: DETECTION FORMIMO SYSTEMS WITH IMPRECISE CHANNEL IV - 5
KNOWLEDGE YUNNAN WU, SUN-YUAN KUNG, PRINCETON UNIVERSITY, UNITED STATES
SPCOM-L1.3: SEMIDEFINITE PROGRAMMINGFOR DETECTION IN LINEAR SYSTEMS IV -
9 - OPTIMALITY CONDITIONS AND SPACE-TIME DECODING JOAKIM JALDEN,
CRISTOFF MARTIN, BJBRN OTTERSTEN, ROYAL INSTITUTE OFTECHNOLOGY (KTH),
SWEDEN
SPCOM-L1.4: JOINT MAXIMUM-LIKELIHOOD CHANNEL ESTIMATION AND SIGNAL IV
-13 DETECTION FOR SIMO CHANNELS PETRESTOICA, UPPSALA UNIVERSITY, SWEDEN;
HARIS VIKALO, BABAK HASSIBI, CALIFORNIA INSTITUTE OF TECHNOLOGY, UNITED
STATES
SPCOM-L1.5: SOFT DECISIONS FORDQPSK DEMODULATION FORTHE VITERBI IV -17
DECODING OF THE CONVOLUTIONAL CODES THUSHARA HEWAVITHANA, MIKE BROOKES,
IMPERIAL COLLEGE LONDON, UNITEDKINGDOM
SPCOM-L1.6: A NEWLOOKATTHE INFORMATIONAL GAIN OF SOFT DECISIONS IV - 21
MICHAEL LEXA, DON JOHNSON, RICE UNIVERSITY, UNITED STATES
HI
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| spelling | ICASSP 2003 Hongkong Verfasser (DE-588)10064591-4 aut Proceedings April 6 - 10, 2003, Hong Kong Exhibition and Convention Centre, Hong Kong 3 Image & multidimensional signal processing, signal processing education 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing Piscataway, NJ IEEE Operations Center 2003 XCVIII, 788 S., S. A 1 - A 23 Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier (DE-588)1071861417 Konferenzschrift gnd-content (DE-604)BV017592822 3 GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010584867&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | Proceedings April 6 - 10, 2003, Hong Kong Exhibition and Convention Centre, Hong Kong |
| title_auth | Proceedings April 6 - 10, 2003, Hong Kong Exhibition and Convention Centre, Hong Kong |
| title_exact_search | Proceedings April 6 - 10, 2003, Hong Kong Exhibition and Convention Centre, Hong Kong |
| title_full | Proceedings April 6 - 10, 2003, Hong Kong Exhibition and Convention Centre, Hong Kong 3 Image & multidimensional signal processing, signal processing education 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing |
| title_fullStr | Proceedings April 6 - 10, 2003, Hong Kong Exhibition and Convention Centre, Hong Kong 3 Image & multidimensional signal processing, signal processing education 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing |
| title_full_unstemmed | Proceedings April 6 - 10, 2003, Hong Kong Exhibition and Convention Centre, Hong Kong 3 Image & multidimensional signal processing, signal processing education 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing |
| title_short | Proceedings |
| title_sort | proceedings april 6 10 2003 hong kong exhibition and convention centre hong kong image multidimensional signal processing signal processing education |
| title_sub | April 6 - 10, 2003, Hong Kong Exhibition and Convention Centre, Hong Kong |
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